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Understanding earnings quality - MIT Sloan School of Management

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Table 2. Spearman correlations between <strong>earnings</strong> <strong>quality</strong> proxies (Sample period: 1987-2007)<br />

Table 2 reports the spearman correlation coefficients between commonly used specifications <strong>of</strong> <strong>earnings</strong> <strong>quality</strong> proxies, as defined in Exhibit 1. Persistence is<br />

measured as the estimated β in the firm-level regression: Earningst+1=α+ βEarningst + εt. Total accruals is defined as the difference between <strong>earnings</strong> and cash<br />

flows from operations. |Accruals| is the absolute value <strong>of</strong> Total accruals. Estimation errors is defined as the firm-level mean absolute value <strong>of</strong> the residual from<br />

∆WC =α+β1CFOt-1 +β2CFOt+ β3CFOt+1+εt. σ(residual) is the firm-level standard deviation <strong>of</strong> the residual from the above regression. σ (EARN)/σ (CFO) is the<br />

firm-level standard deviation <strong>of</strong> <strong>earnings</strong> divided by the standard deviation <strong>of</strong> cash flow from operations. Corr(ΔACC,ΔCFO) is the firm-level correlation<br />

between change in total accruals and change in cash flow from operations. Timely loss recognition is defined as (β1+β2)/β1 from the firm-level regression:<br />

Earningst+1=α1+α2Dt+β1Rett+β2Dt·Rett +εt where D=1 if Ret

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